A tutorial on mathematical modeling of 5G/6G millimeter wave and terahertz cellular systems
Millimeter wave (mmWave) and terahertz (THz) radio access technologies (RAT) are
expected to become a critical part of the future cellular ecosystem providing an abundant …
expected to become a critical part of the future cellular ecosystem providing an abundant …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Two beams are better than one: Towards reliable and high throughput mmWave links
Millimeter-wave communication with high throughput and high reliability is poised to be a
gamechanger for V2X and VR applications. However, mmWave links are notorious for low …
gamechanger for V2X and VR applications. However, mmWave links are notorious for low …
Energy-aware hybrid RF-VLC multiband selection in D2D communication: A stochastic multiarmed bandit approach
To handle the exponentially growing service expectations from mobile users and circumvent
the band switching slow rate, device-to-device (D2D) communication is receiving much …
the band switching slow rate, device-to-device (D2D) communication is receiving much …
DeepBeam: Deep waveform learning for coordination-free beam management in mmWave networks
Highly directional millimeter wave (mmWave) radios need to perform beam management to
establish and maintain reliable links. To achieve this objective, existing solutions mostly rely …
establish and maintain reliable links. To achieve this objective, existing solutions mostly rely …
Reinforcement learning for user association and handover in mmwave-enabled networks
A Alizadeh, M Vu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Using a multi-armed bandit technique, we propose centralized and semi-distributed online
algorithms for load balancing user association and handover in mmWave-enabled networks …
algorithms for load balancing user association and handover in mmWave-enabled networks …
Beamsteering for 5G mobile communication using programmable metasurface
Y Li, S Bettinga, J Eisenbeis… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The usage of programmable metasurfaces (PMs) offers a promising way to realize flexible
and fully electronic beam steering. Compared to phased arrays, PMs are particularly …
and fully electronic beam steering. Compared to phased arrays, PMs are particularly …
Wi-Fi assisted contextual multi-armed bandit for neighbor discovery and selection in millimeter wave device to device communications
The unique features of millimeter waves (mmWaves) motivate its leveraging to future,
beyond-fifth-generation/sixth-generation (B5G/6G)-based device-to-device (D2D) …
beyond-fifth-generation/sixth-generation (B5G/6G)-based device-to-device (D2D) …
Reinforcement learning-based joint user scheduling and link configuration in millimeter-wave networks
In this paper, we develop algorithms for joint user scheduling and three types of mmWave
link configuration: relay selection, codebook optimization, and beam tracking in millimeter …
link configuration: relay selection, codebook optimization, and beam tracking in millimeter …